\begin{table}[!h]

\caption{Individual-level analyses on VOX support, men subsample\label{tab:survey_glm_full_men}}
\centering
\begin{threeparttable}
\begin{tabular}[t]{lcccc}
\toprule
  & (1) & (2) & (3) & (4)\\
\midrule
(Intercept) & -1.967*** & -2.090*** & -5.828*** & -5.833***\\
 & (0.037) & (0.134) & (0.163) & (0.160)\\
Military & 1.458*** & 1.286*** & 0.959*** & 1.124**\\
 & (0.092) & (0.096) & (0.101) & (0.374)\\
Age &  & -0.018*** & -0.020*** & -0.020***\\
 &  & (0.002) & (0.002) & (0.002)\\
Education level &  & -0.014 & 0.000 & 0.000\\
 &  & (0.016) & (0.015) & (0.015)\\
Employed &  & 0.454*** & 0.598*** & 0.598***\\
 &  & (0.042) & (0.049) & (0.049)\\
Unemployed &  & 0.125* & 0.385*** & 0.386***\\
 &  & (0.062) & (0.071) & (0.071)\\
Religious &  & 0.984*** & 0.237*** & 0.237***\\
 &  & (0.035) & (0.047) & (0.047)\\
Ideology (left-right) &  &  & 0.733*** & 0.734***\\
 &  &  & (0.020) & (0.020)\\
Military $\times$ Ideology &  &  &  & -0.025\\
 &  &  &  & (0.057)\\
\midrule
$n$ & 69106 & 68874 & 61354 & 61354\\
AIC & 30847.7 & 29679.3 & 21196.6 & 21198.5\\
Survey FE & Yes & Yes & Yes & Yes\\
Municipality FE & Yes & Yes & Yes & Yes\\
\bottomrule
\end{tabular}
\begin{tablenotes}[para]
\item \textit{Note: } 
\item + p $<$ 0.1, * p $<$ 0.05, ** p $<$ 0.01, *** p $<$ 0.001. All models include survey-clustered SE.
\end{tablenotes}
\end{threeparttable}
\end{table}
